Microsoft Fabric Community Conference 2025, March 31 - April 2, Las Vegas, Nevada. Use code FABINSIDER for a $400 discount.
Register nowThe Power BI DataViz World Championships are on! With four chances to enter, you could win a spot in the LIVE Grand Finale in Las Vegas. Show off your skills.
Would it be possible to generate something like this in Power BI? Currently, I can calculate the values individually for the variables, but I would like to have one single table if possible.
Categorical variables | Continuous variables | |||||
Sample Size (N) | % (n/N) | Mean | Median | SD | Range | |
Age | 102 | - | 25 | 22 | 3.5 | 29-27 |
Gender: | ||||||
Male | 102 | 65.7 (67/102) | - | - | - | - |
Female | 102 | 34.3 (35/102) | - | - | - | - |
Maybe, would need to understand underlying source data.
Please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
Source data:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcszLS1XSUXJLzU3MATGMTJVidaKV3IoS84A8X6igOVjQKxFNrSFEOD8VSakxVCwDWb8JWNA7sQRVvyVY2DexKD2xKLUERcoCJlWJImwGFg7Jz0UyHOiKWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Name = _t, Gender = _t, Age = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"Gender", type text}, {"Age", Int64.Type}}) in #"Changed Type"
Expected result:
Categorical variables | Continuous variables | |||||
Sample Size (N) | % (n/N) | Mean | Median | SD | IQR | |
Age | 8 | 25.4 | 25.5 | 2.7 | 3.5 | |
Gender | 7 | |||||
Male | 42.9% (3/7) | |||||
Female | 57.1% (4/7) |
Hi @smann,
Nope, power bi not support these analysis. Each analysis should be a measure , but current power bi not allow to use measure as axis or row label.
Regards,
Xiaoxin Sheng
How can I dump this post?
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Check out the February 2025 Power BI update to learn about new features.
User | Count |
---|---|
82 | |
78 | |
52 | |
39 | |
35 |
User | Count |
---|---|
94 | |
79 | |
51 | |
47 | |
47 |